N. M. Brown

739 citations
17 papers · 551 · h-index 13

Impact in

Papers in

    • Cancer Risks and Factors 3
    • Neutropenia and Cancer Infections 2
    • Antibiotics Pharmacokinetics and Efficacy 3

N. M. Brown

17 papers receiving 514 citations

Peers

N. M. Brown
Comparison fields: 5 of 94
  • Health, Toxicology and Mutagenesis 158
  • Pathology and Forensic Medicine 152
  • Microbiology 41
  • Drug Discovery 1
  • Cancer Research 84
Replace Paolo Brambilla with:
Paolo Brambilla Italy
Jon Van Loon United States
Shuying S. Li United States
Jiayin Qiu China
David Turgeon Canada
Somayeh Khazaei Iran
Lisa Levy United States
Mai H. Bui United States
Althea Engle United States
Patrick Robertson Canada
N. M. Brown relative to Paolo Brambilla Italy Paolo Brambilla's profile →
Citations per field
00.5×9.5×
Paolo Brambilla · 1×
Citations per year

Countries citing papers authored by N. M. Brown

Since Specialization
Citations

This map shows the geographic impact of N. M. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by N. M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. M. Brown more than expected).

Fields of papers citing papers by N. M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. M. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by N. M. Brown. The network helps show where N. M. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside N. M. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. M. Brown Line = papers co-authored together N. M. Brown links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1998119
2 1998114
3 1995101
4 200629
5 199329
6 199521
7 202019
8 199318
9 201018
10
Genistein regulation of transforming growth factor-alpha, epidermal growth factor (EGF), and EGF receptor expression in the rat uterus and vagina.
200018
11 199416
12 200213
13 199712
14 202112
15 20195
16 20065
17 19972

About N. M. Brown

N. M. Brown is a scholar working on Oncology, Pharmacology, Pathology and Forensic Medicine, Epidemiology and Microbiology, having authored 17 papers that have together received 551 indexed citations. Recurring topics across this work include Medical Device Sterilization and Disinfection (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Phytoestrogen effects and research (3 papers), Cancer Risks and Factors (3 papers), Toxic Organic Pollutants Impact (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Esophageal and GI Pathology (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (158 citations), Pathology and Forensic Medicine (152 citations), Microbiology (41 citations), Drug Discovery (1 citation) and Cancer Research (84 citations). N. M. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Coral A. Lamartiniere, D. S. Reeves, H Wei, Stephanie L. Barnes, J. Harvey, D. S. Reeves, En Shu, Iroka J. Udeinya, Jessica Woodroffe and Kitty te Riele. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Hospital Infection, Thorax, Food and Chemical Toxicology and Journal of Hepatology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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